Paper Info
Title
A Lattice-Based Framework For Interactively And Incrementally Mining Web Traversal Patterns
Abstract
Web mining is one of the mining technologies, which applies data mining techniques in large amount of web data to improve the web services. Web traversal pattern mining discovers most of the users' access patterns from web logs. This information can provide the navigation suggestions for web users such that appropriate actions can be adopted. However, the web data will grow rapidly in the short time, and some of the web data may be antiquated. The user behaviors may be changed when the new web data is inserted into and the old web data is deleted from web logs.Besides, it is considerably difficult to select a perfect minimum support threshold during the mining process to find the interesting rules. Even though the experienced experts, they also cannot determine the appropriate minimum support. Thus, we must constantly adjust the minimum support until the satisfactory mining results can be found. The essences of incremental or interactive data mining are that we can use the previous mining results to reduce the unnecessary processes when the minimum support is changed or web logs are updated. In this paper, we propose efficient incremental and interactive data mining algorithms to discover web traversal patterns and make the mining results to satisfy the users' requirements. The experimental results show that our algorithms are more efficient than the other approaches.
Year
DOI
Venue
2005
10.1108/17440080580000093
INTERNATIONAL JOURNAL OF WEB INFORMATION SYSTEMS
Keywords
Field
DocType
Web mining, incremental data mining, interactive data mining, traversal sequence, web traversal pattern
Data mining,Web mining,Web intelligence,Information retrieval,Web mapping,Computer science,Data Web,Web modeling,Web navigation,Social Semantic Web,Web service,Database
Journal
Volume
Issue
ISSN
1
4
1744-0084
Citations 
PageRank 
References 
3
0.44
16
Authors
3
Name
Order
Citations
PageRank
Yue-Shi Lee154341.14
Show-Jane Yen2537130.05
Min-Chi Hsieh3161.98